Tracking Switched Dynamic Network Topologies From Information Cascades

@article{Baingana2017TrackingSD,
  title={Tracking Switched Dynamic Network Topologies From Information Cascades},
  author={Brian Baingana and Georgios B. Giannakis},
  journal={IEEE Transactions on Signal Processing},
  year={2017},
  volume={65},
  pages={985-997}
}
Contagions, such as the spread of popular news stories, or infectious diseases, propagate in cascades over dynamic networks with unobservable topologies. However, “social signals,” such as product purchase time, or blog entry timestamps are measurable, and implicitly depend on the underlying topology, making it possible to track it over time. Interestingly, network topologies often “jump” between discrete states that may account for sudden changes in the observed signals. The present paper… CONTINUE READING

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